Two-way sync
Changes in Newrelic or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Newrelic and SQL Server in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
SQL Server is where your application's durable data lives; Newrelic is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Stored Procedures, Databases, Schemas, Tables in SQL Server with Entities, Workloads, Synthetics Monitors, Custom Events in Newrelic field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Read and write the synced tables in SQL Server and Stacksync keeps Newrelic current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Updates in Newrelic arrive as row changes in SQL Server, and writes to SQL Server propagate to Newrelic within seconds, so triggers, jobs, and alerts fire without polling.
Directory and identity records in Newrelic stay matched to the users or owners table in SQL Server, so provisioning and de-provisioning flow from one source.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Newrelic objects | SQL Server objects | How this pairing syncs | |
|---|---|---|---|
| Workloads Workload groupings of related entities via NerdGraph workloadCreate/workloadUpdate/workloadDelete with full CRUD; read for status rollups or provisioned from a service catalog to keep team-level views current. | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | Workloads is specific to Newrelic and CDC Change Tables to SQL Server — each maps to any object or custom field on the other side. | |
| Synthetics Monitors Synthetic uptime and scripted browser checks managed through NerdGraph synthetics mutations (create, update, delete); monitor results are read via NRQL for availability and latency reporting. | Stored Procedures T-SQL logic that can validate or post-process synced rows. | Synthetics Monitors is specific to Newrelic and Stored Procedures to SQL Server — each maps to any object or custom field on the other side. | |
| Custom Events Custom events posted write-only to the Event API on insights-collector with a License/Ingest key; business or pipeline events pushed into New Relic to enrich dashboards, then queried back out with NRQL. | Databases Instance-level databases that scope a sync's reads and writes. | Custom Events is specific to Newrelic and Databases to SQL Server — each maps to any object or custom field on the other side. | |
| Change Tracking (Deployments) Deployment and change markers recorded through NerdGraph changeTrackingCreateDeployment; written from CI/CD to annotate charts, and read back via NRQL on the Deployment event for release correlation. | Schemas Namespaces (dbo and custom) used to organize synced tables. | Change Tracking (Deployments) is specific to Newrelic and Schemas to SQL Server — each maps to any object or custom field on the other side. | |
| Dashboards Dashboard definitions and widgets via NerdGraph dashboardCreate/dashboardUpdate/dashboardDelete mutations and entity queries, with full CRUD; exported for backup and audit or provisioned and updated programmatically from a source of truth. | Tables The primary sync target; rows map to records in connected systems. | Dashboards is specific to Newrelic and Tables to SQL Server — each maps to any object or custom field on the other side. | |
| Alert Policies & Conditions Alert policies and NRQL alert conditions managed through NerdGraph alertsPolicy and alertsNrqlCondition mutations with full create, update, and delete; read out for audit or provisioned from a config source so alerting stays consistent across accounts. | Views Read-side projections used as outbound sync sources. | Alert Policies & Conditions is specific to Newrelic and Views to SQL Server — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionNewrelic notifies Stacksync of record changes through webhook events. NRQL polling over timestamp windows for telemetry (events, metrics, logs, spans).
DeliveryEach detected change is applied to SQL Server as a row-level write, with types converted between the two schemas.
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
DeliveryEach detected change is written to Newrelic through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Newrelic–SQL Server connection.
Changes in Newrelic or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Newrelic or SQL Server data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Newrelic or SQL Server record.
Track your Newrelic ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Newrelic and SQL Server.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Newrelic and SQL Server with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Newrelic and SQL Server objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Newrelic and SQL Server: authenticate both systems, choose the objects to sync (such as Newrelic's Workloads and Synthetics Monitors), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Newrelic and SQL Server: One integration pattern instead of per-tool API code; React to changes on either side in near real time; Where Newrelic manages users or groups: keep identity aligned. Read and write the synced tables in SQL Server and Stacksync keeps Newrelic current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Newrelic: NerdGraph (GraphQL) plus REST data-ingest APIs (Event, Metric, Log, Trace) and the legacy REST API v2. Authentication: User API key (prefixed NRAK-) sent in the API-Key header for NerdGraph queries and mutations; the data-ingest APIs (Event, Metric, Log) use a License/Ingest key in the Api-Key header. Keys, endpoints, and data are region-scoped (US, EU, JP). SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
SQL Server: Change Tracking is a lower-overhead alternative that records which rows changed, but not intermediate values, so it suits net-change syncs. Newrelic: NRQL queries run via the API are limited to 3,000 per account per minute with a 5-second default timeout and about 5,000 data points per response; the historical data export path can return far more. Stacksync's field mapping accounts for these differences between Newrelic and SQL Server without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Newrelic and SQL Server records are not retained after a sync operation.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 418 integrations available for Newrelic and SQL Server.